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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 20173
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    Explanations

    phrases related to financial costs

    oai_token-act-pair · gpt-3.5-turbo

    references to costs and financial implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mbuds
    -0.78
    unin
    -0.76
    itialized
    -0.76
    inton
    -0.71
    itable
    -0.70
     Nether
    -0.68
    vironment
    -0.66
    ently
    -0.65
    IPS
    -0.63
    gdala
    -0.63
    POSITIVE LOGITS
     incurred
    1.27
    umers
    1.03
    umed
    0.95
     overrun
    0.87
     costs
    0.85
     savings
    0.84
     burden
    0.84
     burdens
    0.83
     prohib
    0.82
     taxpayers
    0.81
    Activations Density 0.027%

    No Known Activations